A robust mixed-integer linear programming model for mitigating rail transit disruptions under uncertainty
Lei Xu, Tsan Sheng Adam Ng
| Year of publication: |
2020
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|---|---|
| Authors: | Xu, Lei ; Ng, Tsan Sheng Adam |
| Published in: |
Transportation science : a journal of the Institute for Operations Research and the Management Sciences. - Catonsville, MD : Transportation Science & Logistics Society of the Institute for Operations Research and the Management Sciences, ISSN 0041-1655, ZDB-ID 160958-0. - Vol. 54.2020, 5, p. 1388-1407
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| Subject: | rail transit commuter flow routing | uncertain disruption scenarios | two-stage robust optimization framework | cutting plane algorithm | Mathematische Optimierung | Mathematical programming | Theorie | Theory | Robustes Verfahren | Robust statistics | Pendelverkehr | Commuting | Algorithmus | Algorithm | Schienenverkehr | Railway transport | Tourenplanung | Vehicle routing problem | Risiko | Risk |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/trsc.2020.0998 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012294377